Nasdaq 100 Gains 140% Since ChatGPT Launch

AI Stock Sees Solid Revenue Growth

AI company ASML serves a key role in the artificial intelligence supply chain. It makes critical equipment used to make chips and is seeing solid revenue growth. ASML's revenue growth matters because it shows high demand for its products. The company's trailing 12-month revenue is up 76% since 2022. Over $2.5 trillion will be invested in AI infrastructure in the next few years. This investment will drive growth for ASML. With chip demand outpacing supply, the company is set for further growth in the future.

Meta AI Chief Defends Team

Meta's AI chief says his team is not motivated by money. He says top AI researchers joined Meta because they wanted to work with a lot of compute. Top AI researchers reportedly received $100 million offers to join Meta. But the AI chief says they were motivated by other factors. He says they wanted to make progress with a lot of compute and work with great talent. Meta spent $14 billion to acquire nearly half of Scale AI and to lure the AI chief to lead a new AI team. The company will continue to recruit top AI researchers to build its team.

China Faces AI Hardware Shortages Amid Soaring Demand

China's artificial intelligence hardware suppliers are struggling to meet surging demand due to critical component shortages and insufficient production capacity, according to Bloomberg. This scarcity has led to delays in delivering essential parts for AI systems, which are in high demand across various industries. The situation highlights the challenges faced by manufacturers in keeping up with the rapid growth of AI technology. The shortage of key components, such as chips and sensors, is a significant hurdle for China's AI sector. This issue not only affects hardware production but also impacts the development of advanced AI systems that rely on these components. The lack of supply has forced companies to slow down their production lines, creating a bottleneck in the industry. Looking ahead, experts suggest that this shortage may continue as global demand for AI hardware remains strong. China's ability to address these supply chain issues will be crucial for maintaining its position in the AI market.

AI Startup Recursive Emerges with $650 Million for Self-Improving Systems

AI startup Recursive has revealed itself from stealth, aiming to unlock superintelligence through self-improving systems. The company is betting on recursive self-improvement as the quickest route to achieving advanced AI capabilities, a strategy that could accelerate progress in machine learning. The firm has raised $650 million in funding, signaling confidence in its approach. While most AI models rely on fixed instructions from developers, Recursive's system enables AI agents to identify and correct their own errors without human intervention. This self-reinforcement loop allows for continuous improvement, potentially leading to more robust and adaptive AI systems. As the race for smarter AI intensifies, watch for how Recursive's technology evolves and whether it can scale its ambitious vision. The implications for future AI development are significant, with potential breakthroughs in areas like autonomous systems and problem-solving algorithms.

Amazon Employees Inflate AI Token Consumption

Amazon employees have been inflating AI token consumption to meet internal usage targets. The company set targets for over 80% of developers to use AI tools each week and tracked consumption on leaderboards. Employees used an in-house tool to automate non-essential tasks and maximize token numbers. This practice has raised concerns about the reliability of demand figures for AI infrastructure procurement, with combined 2026 capex from top companies tracking between $650 billion and $700 billion. The pressure to use AI tools has created perverse incentives, with some employees using the tools to improve their standing on internal leaderboards. The future of AI adoption will depend on genuine usage, not inflated numbers.